Radiology will experience massive changes in the near future as artificial intelligence (AI) plays an increasingly influential role in the profession. That prediction comes from Dr. Arthur Kaindl, head of digital health services at Siemens Healthineers, in an interview with the German Society of Neuroradiology (DGNR).
Kaindl is scheduled to give the keynote address on Thursday, 12 October, at DGNR's 52nd anniversary commemoration.
"The radiologist of the future will no longer mainly produce findings," he said, citing Siemens' collaboration with the University Radiology Essen-Duisburg to develop an algorithm to diagnose interstitial pulmonary diseases, which can be time-consuming and complex.
"For the radiologists of the future, such successful projects show the focus is no longer on the findings, but on the production of images [and] questions about the right modality," he told the DGNR.
Given radiology's "gigantic" role in healthcare, Kaindl added that AI will help researchers develop hundreds of algorithms to validate research and clinical findings and to curate data for more specialized diagnoses.















![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)



